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anodyine/vllm-omni
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580a0efe40d749e2803f96af1f5f3b8897d08c2d
vllm-omni/docs/getting_started/installation
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Hyoseop SongZhou TaichangAlicia
b46c5af06f [Doc] Add guides for custom docker image build on NVIDIA CUDA [Skip-CI] (#1386)
Signed-off-by: Hyoseop Song <crad_on25@naver.com>
Signed-off-by: Hyoseop Song  <crad_on25@naver.com>
Co-authored-by: Zhou Taichang <tzhouam@connect.ust.hk>
Co-authored-by: Alicia <115451386+congw729@users.noreply.github.com>
2026-06-16 23:15:58 +08:00
..
gpu
[Doc] Add guides for custom docker image build on NVIDIA CUDA [Skip-CI] (#1386)
2026-06-16 23:15:58 +08:00
npu
[Docs] Update docs to use vllm-ascend v0.18.0rc1 (#2453)
2026-04-03 09:54:47 +08:00
.nav.yml
[Docs] optimize and supplement docs system (#86)
2025-11-28 11:03:52 +08:00
gpu.md
[Doc] Add guides for custom docker image build on NVIDIA CUDA [Skip-CI] (#1386)
2026-06-16 23:15:58 +08:00
npu.md
[NPU] Upgrade to v0.16.0 (#1375)
2026-02-26 14:26:50 +08:00
python_env_setup.inc.md
[Docs] optimize and supplement docs system (#86)
2025-11-28 11:03:52 +08:00
README.md
[Docs] Add installation guide for Moore Threads (MUSA) GPUs (#2359)
2026-04-07 11:27:30 +08:00

README.md

Installation

vLLM-Omni supports the following hardware platforms:

  • GPU
    • NVIDIA CUDA
    • AMD ROCm
    • Intel XPU
    • MThreads MUSA
  • NPU
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